Mathematics
Imaging
43%
Nonlinear Inverse Problems
29%
Hybrid Algorithm
28%
Primal-dual
27%
Quasi-Newton Method
27%
Gradient Algorithm
26%
Nonsmooth Optimization
26%
Nonconvex Optimization
25%
Inverse Problem
20%
Momentum
20%
Non-negative Matrix Factorization
16%
Data Acquisition
15%
Deconvolution
15%
Efficacy
14%
Stochastic Gradient
14%
Information Processing
13%
Demonstrate
13%
Stochastic Optimization
12%
Nonconvex Problems
12%
Sparse matrix
12%
Stochastic Methods
12%
Machine Learning
11%
Optimization Methods
11%
Principal Component Analysis
11%
Oracle
11%
Fidelity
10%
Image Deblurring
10%
Global Convergence
10%
Computed Tomography
10%
Numerical Examples
9%
Optimization Problem
7%
Critical point
7%
Convex function
7%
Optimization Algorithm
7%
Super-resolution
6%
Class
6%
Quasi-Newton Algorithm
6%
Estimator
6%
Memory Term
6%
Recurrent Neural Networks
6%
Fixed point
6%
Gradient Descent
6%
Strict Convexity
6%
Primal-dual Algorithm
5%
Data-driven
5%
Large-scale Optimization
5%
Quasi-Newton
5%
Scalability
5%
Ill-posed Problem
5%
Gradient
5%
Engineering & Materials Science
Inverse problems
100%
Gradient methods
78%
Imaging techniques
57%
Mirrors
44%
Momentum
31%
Newton-Raphson method
24%
Adaptive algorithms
21%
Experiments
21%
Convolutional neural networks
19%
Internet of things
18%
Neural networks
17%
Deconvolution
17%
Mathematical operators
17%
Machine learning
15%
Image denoising
12%
Tomography
11%
Convex optimization
11%
Parameterization
11%
Computational efficiency
10%
Image reconstruction
10%
Sampling
9%
Linear algebra
6%
Network architecture
6%
Edge computing
6%
Video streaming
5%
Iterative methods
5%
Scalability
5%
Long short-term memory
5%
Factorization
5%
NP-hard
5%
Classifiers
5%
Principal component analysis
5%
Recurrent neural networks
5%